Analysing the Causes of Increased Large Unstained Cells (LUCs) Percentage in WBC Differential

Background and Aims: Large unstained cells (LUCs) are peroxidase negative mononuclear cells which include large lymphocytes in healthy individuals, peroxidase negative blasts, plasma cells and atypical lymphoid cells. This study aims to assess the causes for elevated LUC% in ADVIA 2120i by rapid peripheral smear review. Materials and Methods: All consecutive anticoagulated blood samples with LUC% >4%, from June 2022 to March 2024, were processed in ADVIA 2120i, and demographic factors, LUC parameters and peripheral smear observations were documented under six diagnostic disease categories. Statistical analysis was performed using SPSS software (IBM, 28.0). Results: The median LUC count of 0.5 × 10 3 cells/µL with an inter-quartile range of 0.2–2.3 × 10 3 cells/µL of blood was observed in haematolymphoid neoplasms. There was a significant overlap of %LUC values among different categories. The majority (69.6%) had % LUC between 4.1% and 9.9%. Marked elevations were observed in AML, CML, ALL and infections. Conclusion: Absolute LUC count could be used as a cost-effective and readily available marker to identify a case of clinically suspicious haematolymphoid neoplasm with LUC count more than or equal to 0.5 × 10 3 cells/µL of blood in conjunction with other complete blood count parameters. However, reflex peripheral smear testing is mandatory in the current setting for confirmation.

Authors

Institutions

Publication Details

Journal
Apollo Medicine
Published
2025-03-27
DOI
https://doi.org/10.1177/09760016251327801
Citations
1
Primary Topic
3D Printing in Biomedical Research
Type
article
Field-Weighted Citation Impact
0.67
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysing the Causes of Increased Large Unstained Cells (LUCs) Percentage in WBC Differential

Mamta Soni, Dhivya Nanjundamoorthi
1 citations
Apollo Medicine
3D Printing in Biomedical Research
0.67
article

Analysing the Causes of Increased Large Unstained Cells (LUCs) Percentage in WBC Differential

Mamta Soni, Dhivya Nanjundamoorthi
article en
1 citations

Abstract

Background and Aims: Large unstained cells (LUCs) are peroxidase negative mononuclear cells which include large lymphocytes in healthy individuals, peroxidase negative blasts, plasma cells and atypical lymphoid cells. This study aims to assess the causes for elevated LUC% in ADVIA 2120i by rapid peripheral smear review. Materials and Methods: All consecutive anticoagulated blood samples with LUC% >4%, from June 2022 to March 2024, were processed in ADVIA 2120i, and demographic factors, LUC parameters and peripheral smear observations were documented under six diagnostic disease categories. Statistical analysis was performed using SPSS software (IBM, 28.0). Results: The median LUC count of 0.5 × 10 3 cells/µL with an inter-quartile range of 0.2–2.3 × 10 3 cells/µL of blood was observed in haematolymphoid neoplasms. There was a significant overlap of %LUC values among different categories. The majority (69.6%) had % LUC between 4.1% and 9.9%. Marked elevations were observed in AML, CML, ALL and infections. Conclusion: Absolute LUC count could be used as a cost-effective and readily available marker to identify a case of clinically suspicious haematolymphoid neoplasm with LUC count more than or equal to 0.5 × 10 3 cells/µL of blood in conjunction with other complete blood count parameters. However, reflex peripheral smear testing is mandatory in the current setting for confirmation.

Apollo MedicineVol. 23(2)
Apollo Hospitals (IN)
Openalex Percentile: Top 34%
3D Printing in Biomedical Research
0.67
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.